Aslib Journal of Information Management,
Год журнала:
2025,
Номер
unknown
Опубликована: Март 24, 2025
Purpose
Central
bank
digital
currencies
(CBDCs)
play
a
critical
role
in
driving
national
transformation.
While
China’s
CBDC,
the
electronic
Chinese
yuan
(e-CNY),
has
been
launched
several
pilot
cities,
reports
indicate
low
user
stickiness.
To
address
this
issue,
we
applied
behavioral
reasoning
theory
(BRT)
to
develop
model
and
hypotheses.
This
explores
how
personal
values
(such
as
openness
change),
reasons
for
adoption
(RFs:
relative
advantage,
compatibility
perceived
security)
against
(RAs:
usage
barriers,
inertia
lack
of
scenarios)
influence
attitudes
their
stickiness
e-CNY.
Design/methodology/approach
A
mixed-methods
approach
was
employed,
starting
with
qualitative
research
through
semistructured
interviews
identify
key
(RFs)
(RAs)
e-CNY
adoption.
followed
by
quantitative
survey
601
respondents,
data
analyzed
via
partial
least
squares
test
proposed
Findings
Our
findings
that
change
increases
RFs
reduces
RAs.
positively
toward
e-CNY,
whereas
RAs
negatively
impact
these
attitudes.
Both
directly
stickiness,
they
also
it
indirectly
Additionally,
partially
mediate
relationship
between
both
Originality/value
study
provides
deeper
understanding
emphasizing
(openness
change)
adoption-related
factors
shaping
The
provide
practical
insights
government
businesses
collaborate
enhancing
users’
Journal of Hospitality and Tourism Technology,
Год журнала:
2024,
Номер
15(2), С. 211 - 231
Опубликована: Янв. 8, 2024
Purpose
This
study
aims
to
identify,
review
and
synthesize
existing
literature
on
key
theories,
drivers
barriers
affecting
consumer
adoption
or
resistance
artificial
intelligence
(AI)
in
the
hospitality
sector.
Design/methodology/approach
conduct
a
complete
of
accrued
knowledge
generated
so
far
AI
To
attain
overall
objectives
this
study,
we
used
systematic
(SLR)
method.
method
systematically
handles
diversity
specific
topic
answer
precise
research
questions.
It
also
generates
new
visions
through
synthesis
literature,
identify
gaps,
set
directions
for
future
researcher
provide
sufficient
guidance
inform
policy
practice.
Findings
The
findings
are
presented
three
sections,
as
follows:
descriptive
analysis,
content
analysis
synthesized
framework.
highlighted
state-of-the-art
mapping
terms
publication
frequency
over
time
across
outlets,
methods
geographies.
In
addition,
(or
resistance)
is
analyzed
highlight
barriers.
Moreover,
critically
evaluates
extant
sets
agendas
by
postulating
questions
further
development
field
study.
Research
limitations/implications
SLR
focused
use
literature.
may
include
additional
streams
get
better
results.
Practical
implications
will
help
multiple
stakeholders
understand
underlying
causes
customer
intention
use/adopt
services
hotel
Furthermore,
results
allow
them
analyze
relationship
between
barriers,
intents
decision
behaviors.
Originality/value
First,
provides
comprehensive
hospitality.
categorizes
diversified
two
main
themes
–
present
simplistic
picture
Second,
highlights
gaps
limitations
scholars.
Third,
contribution
unified
framework
That
is,
puts
forward
behavioral
reasoning
theory
suggests
that
using
lens
immensely
contribute
Finally,
facilitates
practitioners
motivating
hindering
factors
behavior.
Consumer Behavior in Tourism and Hospitality,
Год журнала:
2025,
Номер
unknown
Опубликована: Янв. 9, 2025
Purpose
While
the
fields
of
artificial
intelligence
(AI)
and
avatars
are
growing
at
a
very
fast
pace,
studies
still
scarce.
This
study
aims
to
fill
gap
in
literature
relating
implications
highly
realistic
as
well
consequences
AI-led
co-creation
on
hospitality
services
Metaverse.
Design/methodology/approach
The
authors
adopted
an
exploratory
qualitative
methodology
role
AI
Metaverse
within
context.
involved
interviews
with
both
elite
figures
consumers
primary
data
also
incorporated
secondary
sourced
from
comments
YouTube
video
related
avatars.
Findings
Based
triangulation,
extracted
themes
dealt
four
key
areas:
(1)
avatars’
relational
encounters
hospitality,
(2)
realism,
(3)
self-representation
self-perception
skewness
(4)
co-creation.
findings
show
that
while
realism
would
increase
authenticity
virtual
social
connections,
engagement
monetization,
issue
self-misrepresentation
will
diminish
effect
encounters.
That
be
led
digitally
cocreate
reviews
recommendations
further
accentuates
findings.
Originality/value
research
advances
field
by
addressing
avatar
It
explores
nuanced
ways
can
enhance
simultaneously
posing
challenges
trust.
provides
foundation
for
exploration
AI’s
transformative
potential
contexts.
International Journal of Quality and Service Sciences,
Год журнала:
2025,
Номер
unknown
Опубликована: Янв. 2, 2025
Purpose
This
paper
aims
to
explore
the
antecedents
of
service
robots’
adoption
at
restaurants
in
India,
specifically
focusing
on
Gen
Z
customers.
study
sheds
light
customer
preferences
getting
served
by
robots
with
moderating
role
human
preference
and
perceived
job
lose
orientation
dine-in
Design/methodology/approach
Primary
data
was
collected
from
customers
using
purposive
sampling
prime
cities
South
(
n
=
363)
North
India
303).
The
perceptions
respondents
towards
were
analysed
SmartPLS
3.3.9.
Findings
findings
suggest
that
performance
expectancy,
effort
social
influence,
facilitating
conditions,
hedonic
motivations
price
value
significantly
determine
acceptance
consumers.
However,
such
direct
associations
are
moderated
Z’s
loss.
Furthermore,
demographic
factors
like
respondents’
location,
i.e.
north
south,
affect
their
preferences.
Originality/value
research
provides
more
insights
into
dining
terms
variables
job-saving
based
which
managers
can
design
people,
processes
physical
evidence
strategies
restaurant
mix.
European Journal of Investigation in Health Psychology and Education,
Год журнала:
2025,
Номер
15(1), С. 6 - 6
Опубликована: Янв. 8, 2025
Artificial
intelligence
(AI)
has
transformed
healthcare,
yet
patients'
acceptance
of
AI-driven
medical
services
remains
constrained.
Despite
its
significant
potential,
patients
exhibit
reluctance
towards
this
technology.
A
notable
lack
comprehensive
research
exists
that
examines
the
variables
driving
resistance
to
AI.
This
study
explores
influencing
adopt
AI
technology
in
healthcare
by
applying
an
extended
Ram
and
Sheth
Model.
More
specifically,
roles
need
for
personal
contact
(NPC),
perceived
technological
dependence
(PTD),
general
skepticism
toward
(GSAI)
shaping
patient
integration.
For
reason,
a
sequential
mixed-method
approach
was
employed,
beginning
with
semi-structured
interviews
identify
adaptable
factors
healthcare.
It
then
followed
survey
validate
qualitative
findings
through
Structural
Equation
Modeling
(SEM)
via
AMOS
(version
24).
The
confirm
NPC,
PTD,
GSAI
significantly
contribute
Precisely,
who
prefer
interaction,
feel
dependent
on
AI,
or
are
skeptical
AI's
promises
more
likely
resist
adoption.
highlight
psychological
offering
valuable
insights
administrators.
Strategies
balance
efficiency
human
mitigate
dependence,
foster
trust
recommended
successful
implementation
adds
theoretical
understanding
Innovation
Resistance
Theory,
providing
both
conceptual
practical
implications
effective
incorporation
International Journal of Contemporary Hospitality Management,
Год журнала:
2025,
Номер
unknown
Опубликована: Янв. 9, 2025
Purpose
Customer
value
co-creation
in
robots-mediated
hospitality
encounters
involves
active
collaboration
between
customers
and
robots.
In
such
encounters,
robot
capabilities,
which
are
their
functionalities
or
operational
competences,
personalities,
interactive
behaviors
communication
styles,
play
a
key
role
enhancing
customer
co-creation.
The
purpose
of
this
study
is
to
draw
on
service
dominant
logic
examine
the
capabilities
personalities
determining
satisfaction.
Design/methodology/approach
authors
adopted
mixed-methods
research
approach.
A
netnographic
analysis
was
conducted
online
reviews
for
robotic
hotels
restaurants
identify
that
shaped
experiences.
Following
this,
quantitative
(survey)
investigate
effects
Findings
From
analysis,
identified
cognitive,
technical,
interactional,
emotional,
personalization
autonomous
as
influencing
findings
follow-up
empirical
showed
higher-order
construct
positively
influences
co-creation,
which,
turn,
affects
Furthermore,
extroversion
personality
moderates
relationship,
robots
with
high
levels
result
greater
when
possess
compared
introversion
personalities.
Practical
implications
This
advances
understanding
robot-mediated
by
emphasizing
crucial
factors
effective
sector.
it
offers
actionable
insights
providers
selection
satisfaction
successful
Originality/value
While
previous
has
predominantly
focused
acceptance
interaction
settings,
present
examined
how
facilitate
customers.
Specifically,
explores
shaping
perceptions.
few
recent
studies
customer-robot
interactions
have
considered
specific
capabilities.
However,
given
services
experiential
nature
involve
various
tasks,
broad
range
should
be
comprehensive
process.
By
addressing
gap,
novel
into
what
(capabilities)
(extraversion
personality)
Heliyon,
Год журнала:
2023,
Номер
9(6), С. e16968 - e16968
Опубликована: Июнь 1, 2023
This
study
explores
the
reasons
(for
and
against)
adoption
of
AI
in
hospitality
industry
among
Pakistani
customers.
The
hypothesis
was
tested
using
sample
obtained
from
data
is
collected
via
an
online
survey
analyzed
with
structural
equation
modeling
PROCESS
macro.
results
indicate
that
cultural
values
positively
associate
for,
attitudes,
intentions
to
adopt.
Moreover,
prove
attitude
mediates
relationship
between
intention
adopt
services
hospitality.
Furthermore,
finding
shows
customer
emotional
intelligence
has
no
moderation
effect
on
services.
highlights
technological
complexity
safety
concerns
are
most
significant
barriers
studied
context.
Further,
addressing
reason
against
(technological
concerns)
may
allow
policymakers
lessen
present
attitude-intention
gap
by
tackling
factors
cause
customers
resist
adopting
In
this
respect,
marketers
should
develop
a
marketing
campaign
strategy
focusing
benefits
comparison
employee
service.
first
empirical
examining
values,
their
intentions,
moderating
role
attractive,
important,
yet
ignored
variable,
intelligence.
confirms
behavioral
reasoning
theory
can
better
describe
customers'
behavior
sector.
